{"doi":"10.1093/nar/gkaf1148","title":"International Mouse Phenotyping Consortium Portal: facilitating investigation of gene function and providing insights into human disease","abstract":"The International Mouse Phenotyping Consortium (IMPC; https://www.mousephenotype.org/) web portal contains phenotype data for mouse protein-coding genes derived from analysis of data obtained in a systematic and high-throughput fashion from knock-out lines produced by IMPC. The project has produced >1400 candidate mouse models of human disease that recapitulate phenotypes observed in patients. Over 8000 papers rely on data or reagents generated by IMPC, demonstrating the impact of the project on the research and clinical communities, and IMPC data is incorporated into other resources, such as MGI, Open Targets, and UniProt. Data release (DR23.0, 2025) contains >100 million data points from 9277 genes and identified 113 803 significant phenotypes. To manage efficient access to this quantity of high dimensional data the IMPC web portal has been rebuilt using a cloud native architecture. The modern user interface retains the look and feel of the original portal with improvements identified through a usability study. New data visualization and training materials for large scale data access through the API have also been developed to make the resource easier to use.","journal":"Nucleic Acids Research","year":2025,"id":515014,"datarank":0.3435211917445277,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"self_citation_contribution":0.31191623125197543,"citation_network_contribution":0.031604960492552285,"self_endowment_contribution":0.31191623125197543,"citer_contribution":0.031604960492552285,"corpus_percentile":48.9440705500116,"corpus_rank":6601,"citation_count":7,"citer_count":7,"citers_with_citation_signal":2,"citers_with_endowment":2,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9638,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":87.5,"fair_percentile":99.41913787832468,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1379063,"name":"Tuğba Bülbül Ataç","orcid":null,"position":1,"is_corresponding":false},{"id":840760,"name":"Tsz Kwan Cheng","orcid":null,"position":2,"is_corresponding":false},{"id":839462,"name":"Anthony Frost","orcid":"0000-0002-2385-1380","position":3,"is_corresponding":false},{"id":838681,"name":"Osman Güneş","orcid":"0000-0002-4987-6981","position":4,"is_corresponding":false},{"id":1379064,"name":"Marina Kan","orcid":null,"position":5,"is_corresponding":false},{"id":491231,"name":"Piia Keskivali-Bond","orcid":null,"position":6,"is_corresponding":false},{"id":30398,"name":"Federico López","orcid":"0000-0002-7138-3542","position":7,"is_corresponding":false},{"id":1019900,"name":"James Alastair McLaughlin","orcid":"0000-0002-8361-2795","position":8,"is_corresponding":false},{"id":1300024,"name":"Jakub Mucha","orcid":null,"position":9,"is_corresponding":false},{"id":1379065,"name":"Tawanda Munava","orcid":null,"position":10,"is_corresponding":false},{"id":1378493,"name":"Claudio Guilherme de Assis Oliveira","orcid":"0009-0004-4997-7354","position":11,"is_corresponding":false},{"id":994765,"name":"Diego Pava","orcid":null,"position":12,"is_corresponding":false},{"id":1378494,"name":"Jose Francisco Peña Estrada","orcid":"0000-0002-4698-8929","position":13,"is_corresponding":false},{"id":1379066,"name":"Ewan Selkirk","orcid":null,"position":14,"is_corresponding":false},{"id":840759,"name":"Bora Vardal","orcid":null,"position":15,"is_corresponding":false},{"id":268820,"name":"Sara Wells","orcid":"0000-0002-0572-0600","position":16,"is_corresponding":false},{"id":266969,"name":"Pilar Cacheiro","orcid":"0000-0002-6335-8208","position":17,"is_corresponding":false},{"id":11700,"name":"Damian Smedley","orcid":"0000-0002-5836-9850","position":18,"is_corresponding":false},{"id":2833,"name":"Helen Parkinson","orcid":"0000-0003-3035-4195","position":19,"is_corresponding":false},{"id":838687,"name":"Robert Wilson","orcid":"0000-0002-9407-5526","position":0,"is_corresponding":true}],"reference_count":49,"raw_metadata":null,"created_at":"2026-07-19T02:48:34.431522Z","pmid":"41231752","pmcid":"PMC12807668","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":72.2222,"fair_a":87.5,"fair_i":20.0,"fair_r":75.0,"fair_zscore":2.0998,"fair_rationale":{"fair_score":87.5,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":72.22,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"S-BIAD2244","grounded":true,"rationale":"The paper gives the BioImage Archive accession S-BIAD2244, which is a persistent identifier in a recognised repository scheme.","anchors":["RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit","RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier'","FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"BioImage Archive","grounded":true,"rationale":"The paper names the BioImage Archive as the repository holding the image data.","anchors":["RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed (","NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived","NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"IMPC Web Portal: https://www.mousephenotype.org/ IMPC FTP data releases: http://ftp.ebi.ac.uk/pub/databases/impc/ BioImage Archive data: https://www.ebi.ac.uk/biostudies/studies/S-BIAD2244 IMPC Knowledge Graph: https://ftp.ebi.ac.uk/pub/databases/spot/kg/impc_kg_neo4j.tgz IMPC Track Hub: https://ftp.ebi.ac.uk/pub/databases/impc/other/impcTrackHub/hub.txt IMPC disease models portal: https://diseasemodels.research.its.qmul.ac.uk","grounded":true,"rationale":"The statement points to a repository record (BioImage Archive with accession S-BIAD2244), which is Colavizza category 3. [majority verdict 'yes' (3/5 passes agreed)]","anchors":["Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li","Springer Nature research data policy — Data Availability Statements: standard statement templat","RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes"],"scored":false,"signal":null},{"key":"f_discovery_metadata","label":"Description of the dataset as an object","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The latest release (DR23.0, 2025), comprises >100 million experimental observations for 9277 genes with 113 803 significant phenotype calls (51 190 for embryonic stages, 57 918 for early adults <16wk, and 4695 for mid/late adults) [21], assayed in homozygotes, hemizygotes and heterozygotes animals from 9994 independently established lines.","grounded":false,"rationale":"The dataset's content and size are described in running prose, with no itemised inventory such as a table or list of files. [downgraded to 'no' — no verifiable quote from the paper]","anchors":["RDA-F2-01M — 'Rich metadata is provided to allow discovery' (priority Essential)","FsF-F2-01M — F-UJI: 'Metadata includes descriptive core elements to support data findability'","FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'"],"scored":false,"signal":null},{"key":"f_dataset_cited","label":"Dataset formally cited","kind":"llm","weight":1.0,"fraction":0.5,"verdict":"partial","evidence":"The set of 465K Xray images are now archived in the BioImage Archive (BIA; https://www.ebi.ac.uk/biostudies/studies/S-BIAD2244 ), and we are in the process of depositing the remaining images.","grounded":true,"rationale":"The dataset identifier (S-BIAD2244) appears only in the body text, not as a reference-list entry.","anchors":["FORCE11 Joint Declaration of Data Citation Principles (2014) — data should be cited as a first-","RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes","FsF-F3-01M — F-UJI: 'Metadata includes the identifier of the data it describes'"],"scored":true,"signal":null}]},"A":{"name":"Accessible","score":87.5,"criteria":[{"key":"a_data_openly_accessible","label":"Access route free of preconditions","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"These resources provide the scientific community with free and unrestricted access to the primary and secondary data, the genotype-phenotype annotations made by IMPC, disease associations, the standard operating protocols used to perform the broad based phenotyping of the animals, and links to stock centres where the mice and reagents generated by IMPC can be obtained.","grounded":true,"rationale":"The text states that the data are freely and openly accessible with no stated precondition. [majority verdict 'yes' (4/5 passes agreed)]","anchors":["RDA-A1.1-01D — 'Data is accessible through a free access protocol'","FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data'","NSTC Desirable Characteristics of Data Repositories (2022) — 'Free and Easy Access'"],"scored":true,"signal":null},{"key":"a_access_conditions_stated","label":"Access level labelled","kind":"llm","weight":1.0,"fraction":1.0,"verdict":"yes","evidence":"These resources provide the scientific community with free and unrestricted access to the primary and secondary data, the genotype-phenotype annotations made by IMPC, disease associations, the standard operating protocols used to perform the broad based phenotyping of the animals, and links to stock centres where the mice and reagents generated by IMPC can be obtained.","grounded":true,"rationale":"The paper explicitly labels the access level as 'free and unrestricted access'.","anchors":["FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data'","RDA-A1-01M — metadata contains information to enable the user to get access to the data","COAR Controlled Vocabularies — Access Rights v1.0 (open / embargoed / restricted / metadata-onl"],"scored":false,"signal":null},{"key":"a_controlled_access_for_sensitive","label":"Gatekeeper for sensitive data","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"The data are not sensitive human-subject data; the paper mentions no gatekeeper because none is applicable.","anchors":["NIH Genomic Data Sharing Policy (NOT-OD-14-124) — controlled-access via a Data Access Committee","RDA-A1.2-01D — 'Data is accessible through an access protocol that supports authentication and ","NIH DMS Policy Element 5 (NOT-OD-21-014) — Access, Distribution, or Reuse Considerations (conse"],"scored":false,"signal":null},{"key":"a_timeline_retention","label":"Availability timing & retention","kind":"llm","weight":0.5,"fraction":1.0,"verdict":"yes","evidence":"The BIA is a permanent repository for image data","grounded":true,"rationale":"The BioImage Archive is described as a permanent repository, implying a persistence commitment for that subset of the data. [majority verdict 'yes' (4/5 passes agreed)]","anchors":["NIH DMS Plan Element 4 (NOT-OD-21-014) — Data Preservation, Access, and Associated Timelines","NSTC Desirable Characteristics (2022), Organizational Infrastructure: 'Retention Policy'","RDA-A2-01M — 'Metadata is guaranteed to remain available after data is no longer available'"],"scored":false,"signal":null}]},"I":{"name":"Interoperable","score":20.0,"criteria":[{"key":"i_open_nonproprietary_format","label":"Open file format","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No file format token is named anywhere in the paper for the released data.","anchors":["FsF-R1.3-02D — F-UJI: 'Data is available in a file format recommended by the target research co","RDA-R1.3-02D — data is expressed in a machine-understandable community standard","RDA-I1-01D — data uses a knowledge representation expressed in a standardised format"],"scored":true,"signal":null},{"key":"i_community_standard_vocabulary","label":"Community standard / vocabulary","kind":"llm","weight":1.0,"fraction":0.5,"verdict":"partial","evidence":"widely adopted community ontologies, such as the Mammalian Phenotype (MP) ontology [19] and the Human Phenotype Ontology (HPO) [20].","grounded":false,"rationale":"The paper states that the data use community ontologies (MP and HPO), which are registered in FAIRsharing. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (4/5 passes agreed)]","anchors":["RDA-R1.3-01M — 'Metadata complies with a community standard' (priority Essential)","RDA-R1.3-01D — 'Data complies with a community standard'","RDA-I2-01M — '(Meta)data use vocabularies that follow FAIR principles'"],"scored":false,"signal":null},{"key":"i_qualified_references","label":"Identifiers for the resources the data depend on","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"The paper does not provide any identifier (DOI, accession, RRID) for an external resource that the data depend on or derive from.","anchors":["RDA-I3-01M — '(meta)data include references to other (meta)data'","RDA-I3-03M — 'metadata includes qualified references to other metadata'","FsF-I3-01M — F-UJI: 'Metadata includes links between the data and its related entities'"],"scored":false,"signal":null}]},"R":{"name":"Reusable","score":75.0,"criteria":[{"key":"r_reuse_license","label":"Reuse licence","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"Information about the IMPC project is disseminated under the CC-BY 4.0 licence","grounded":true,"rationale":"CC-BY 4.0 is an open standard licence (SPDX-listed, Open Definition conformant) applied to the data. [majority verdict 'yes' (3/5 passes agreed)]","anchors":["RDA-R1.1-01M — 'Metadata includes information about the licence under which the data can be reu","RDA-R1.1-02M — 'Metadata refers to a standard reuse licence'","RDA-R1.1-03M — 'Metadata refers to a machine-understandable reuse licence'"],"scored":true,"signal":null},{"key":"r_provenance_methods","label":"Provenance of the data","kind":"llm","weight":1.0,"fraction":0.5,"verdict":"partial","evidence":"IMPC phenotyping protocols are standardized and harmonized across the project and publicly shared through IMPReSS","grounded":true,"rationale":"The text describes the process in generic terms without naming specific instruments, kits, or software versions used for data production. [majority verdict 'partial' (4/5 passes agreed)]","anchors":["RDA-R1.2-01M — 'Metadata includes provenance information according to community- specific standa","FsF-R1.2-01M — F-UJI: 'Metadata includes provenance information about data creation or generati","W3C PROV-O (W3C Recommendation, 2013) — the entity/activity/agent model of provenance"],"scored":false,"signal":null},{"key":"r_documentation_codebook","label":"Documentation / codebook","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No documentation object (README, codebook, schema) is named as accompanying the data, and no variable-definition table exists inside the article.","anchors":["RDA-R1-01M — '(Meta)data are richly described with a plurality of accurate and relevant attribu","FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'","NIH DMS Policy Element 3 (NOT-OD-21-014) — Standards (documentation and metadata to accompany t"],"scored":false,"signal":null},{"key":"r_versioning","label":"Snapshot identified","kind":"llm","weight":0.5,"fraction":1.0,"verdict":"yes","evidence":"Data release (DR23.0, 2025)","grounded":true,"rationale":"The paper states a version token (DR23.0) for the data release.","anchors":["DataCite Metadata Schema 4.6 — the 'Version' property","RDA-R1.2-01M — provenance information (which version was used is provenance)","NSTC Desirable Characteristics of Data Repositories (2022) — 'Provenance', 'Retention Policy'"],"scored":true,"signal":null},{"key":"x_code_availability","label":"Analysis code available","kind":"llm","weight":1.0,"fraction":1.0,"verdict":"yes","evidence":"a Python library ( https://github.com/mpi2/impc-api )","grounded":true,"rationale":"The paper provides a GitHub repository URL for the study's own code, which is a machine-resolvable locator.","anchors":["NIH DMS Policy Element 2 (NOT-OD-21-014) — 'Related Tools, Software and/or Code'","FAIR4RS Principles v1.0 (Chue Hong et al., 2022; RDA/FORCE11/ReSA) — FAIR Principles for Resear","FORCE11 Software Citation Principles (Smith, Katz & Niemeyer, 2016, PeerJ CS 2:e86)"],"scored":true,"signal":null},{"key":"x_funding_attribution","label":"Funder and award number","kind":"llm","weight":0.5,"fraction":1.0,"verdict":"yes","evidence":"2UM1HG006370-11, 5UM1HG006370-13, 3UM1HG006370-12S2, 1U24OD038424-01","grounded":true,"rationale":"The paper lists specific NIH award numbers attached to a named funder (NIH).","anchors":["DataCite Metadata Schema 4.6 — 'FundingReference' property (funderName, funderIdentifier, award","Crossref Funder Registry — canonical funder identifiers for funding metadata","RDA-F2-01M — rich metadata provided to allow discovery (funding is part of the descriptive reco"],"scored":true,"signal":null}]}},"actions":[{"key":"i_open_nonproprietary_format","dimension":"I","label":"Open file format","action":"Release the data in an open, community-standard format (CSV/TSV, JSON, HDF5, NetCDF, FASTQ, VCF, NIfTI…) instead of — or alongside — any proprietary or instrument-native format, and name the format in the paper. A dataset that needs a €2,000 licence to open is not reusable. Prefer open genomics / sequencing formats such as FASTQ, BAM or VCF.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No file format token is named anywhere in the paper for the released data.","gain":8.33,"priority":"important","scored":true},{"key":"f_dataset_cited","dimension":"F","label":"Dataset formally cited","action":"Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the genomics / sequencing repository accession (e.g. from GEO (GSE accession), SRA (SRP/SRR) or ENA/BioProject (PRJEB/PRJNA)) in the reference list.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"The set of 465K Xray images are now archived in the BioImage Archive (BIA; https://www.ebi.ac.uk/biostudies/studies/S-BIAD2244 ), and we are in the process of depositing the remaining images.","why":"The dataset identifier (S-BIAD2244) appears only in the body text, not as a reference-list entry.","gain":4.17,"priority":"important","scored":true},{"key":"f_discovery_metadata","dimension":"F","label":"Description of the dataset as an object","action":"Add a 'Data Records' section: itemise every file in the deposit and every variable or sample it holds, with counts and units. Describe the dataset as an object in its own right, not as a by-product of the findings — this is what makes it discoverable to someone who is not looking for your paper.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"The latest release (DR23.0, 2025), comprises >100 million experimental observations for 9277 genes with 113 803 significant phenotype calls (51 190 for embryonic stages, 57 918 for early adults <16wk, and 4695 for mid/late adults) [21], assayed in homozygotes, hemizygotes and heterozygotes animals from 9994 independently established lines.","why":"The dataset's content and size are described in running prose, with no itemised inventory such as a table or list of files. [downgraded to 'no' — no verifiable quote from the paper]","gain":0.0,"priority":"essential","scored":false},{"key":"i_community_standard_vocabulary","dimension":"I","label":"Community standard / vocabulary","action":"Adopt and NAME your domain's data standard — the minimum-information checklist, metadata schema, or ontology your community uses (MIAME/MINSEQE, ISA-Tab, BIDS, an OBO ontology, HL7 FHIR/OMOP) — and say which one you followed. A reporting checklist standardises your paper; it does nothing for your data. In genomics / sequencing, describe the data with MIAME, MINSEQE or MIxS.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"widely adopted community ontologies, such as the Mammalian Phenotype (MP) ontology [19] and the Human Phenotype Ontology (HPO) [20].","why":"The paper states that the data use community ontologies (MP and HPO), which are registered in FAIRsharing. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (4/5 passes agreed)]","gain":0.0,"priority":"important","scored":false},{"key":"r_provenance_methods","dimension":"R","label":"Provenance of the data","action":"Name the instruments, kits, and software — with versions — that produced the data, not just the verbs. 'Reads were aligned' is not provenance; 'aligned with STAR v2.7.9a to GRCh38' is, because someone else can rerun it.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"IMPC phenotyping protocols are standardized and harmonized across the project and publicly shared through IMPReSS","why":"The text describes the process in generic terms without naming specific instruments, kits, or software versions used for data production. [majority verdict 'partial' (4/5 passes agreed)]","gain":0.0,"priority":"important","scored":false},{"key":"r_documentation_codebook","dimension":"R","label":"Documentation / codebook","action":"Ship a README and a data dictionary IN the deposit — every file, every variable, its units, its allowed values, its missing-value codes. It is the cheapest single thing that makes a dataset usable by someone who was not in the lab, and a table buried in the article does not travel with the data.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No documentation object (README, codebook, schema) is named as accompanying the data, and no variable-definition table exists inside the article.","gain":0.0,"priority":"important","scored":false},{"key":"a_controlled_access_for_sensitive","dimension":"A","label":"Gatekeeper for sensitive data","action":"Route sensitive data through an institutional gatekeeper — deposit in a controlled- access repository (dbGaP, EGA) with a Data Access Committee and a published DUA — rather than through the corresponding author's inbox. An author-gated dataset dies with the author's email address, and 'on reasonable request' has been shown repeatedly not to yield data. For sensitive/human genomics / sequencing data, use a controlled-access repository such as dbGaP or EGA.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"The data are not sensitive human-subject data; the paper mentions no gatekeeper because none is applicable.","gain":0.0,"priority":"useful","scored":false},{"key":"i_qualified_references","dimension":"I","label":"Identifiers for the resources the data depend on","action":"Cite by identifier every resource the data depend on — the source datasets' accessions, the reference build (GRCh38 / GCA_000001405.28), the cohort application number, the code DOI — and register those relations on the dataset record (IsDerivedFrom, IsSupplementTo). A name is not a link: it cannot be resolved, versioned, or followed by a machine.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"The paper does not provide any identifier (DOI, accession, RRID) for an external resource that the data depend on or derive from.","gain":0.0,"priority":"useful","scored":false}],"suggestions":["Release the data in an open, community-standard format (CSV/TSV, JSON, HDF5, NetCDF, FASTQ, VCF, NIfTI…) instead of — or alongside — any proprietary or instrument-native format, and name the format in the paper. A dataset that needs a €2,000 licence to open is not reusable. Prefer open genomics / sequencing formats such as FASTQ, BAM or VCF.","Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the genomics / sequencing repository accession (e.g. from GEO (GSE accession), SRA (SRP/SRR) or ENA/BioProject (PRJEB/PRJNA)) in the reference list.","Add a 'Data Records' section: itemise every file in the deposit and every variable or sample it holds, with counts and units. Describe the dataset as an object in its own right, not as a by-product of the findings — this is what makes it discoverable to someone who is not looking for your paper.","Adopt and NAME your domain's data standard — the minimum-information checklist, metadata schema, or ontology your community uses (MIAME/MINSEQE, ISA-Tab, BIDS, an OBO ontology, HL7 FHIR/OMOP) — and say which one you followed. A reporting checklist standardises your paper; it does nothing for your data. In genomics / sequencing, describe the data with MIAME, MINSEQE or MIxS.","Name the instruments, kits, and software — with versions — that produced the data, not just the verbs. 'Reads were aligned' is not provenance; 'aligned with STAR v2.7.9a to GRCh38' is, because someone else can rerun it."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"epmc_xml"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"epmc_xml","fair_has_llm":true,"fair_computed_at":"2026-07-20T12:44:32.136173Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}